New energy resource grading evaluation method based on clustering algorithm
The invention discloses a new energy resource grading evaluation method based on a clustering algorithm. The new energy resource grading evaluation method specifically comprises the following steps of 1, solving a monthly power generation theoretical hour number of each new energy station; 2, analyz...
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| creator | GE PENGJIANG ZHANG XIAOQI WANG KANGPING LYU JINLI DUAN NAIXIN ZHAO XIN JIN JILIANG |
| description | The invention discloses a new energy resource grading evaluation method based on a clustering algorithm. The new energy resource grading evaluation method specifically comprises the following steps of 1, solving a monthly power generation theoretical hour number of each new energy station; 2, analyzing and correcting the data obtained in the step 1, and constructing an evaluation index of each new energy station; step 3, analyzing each new energy station evaluation index obtained in the step 2 to obtain a substation-level new energy evaluation index; and 4, aggregating the substation-level evaluation indexes obtained in the step 3 to obtain provincial-level new energy evaluation indexes, and outputting the provincial-level new energy evaluation indexes. Theoretical basis and engineering guidance can be provided for new energy installation planning, and high-quality development of new energy can be promoted.
本发明公开了一种基于聚类算法的新能源资源分级评价方法，具体包括如下步骤：步骤1，求解每个新能源场站的每月发电理论小时数；步骤2，对步骤1获取数据进行分析与修正，构建每个新能源场站的评价指标；步骤3，对步骤2 |
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本发明公开了一种基于聚类算法的新能源资源分级评价方法，具体包括如下步骤：步骤1，求解每个新能源场站的每月发电理论小时数；步骤2，对步骤1获取数据进行分析与修正，构建每个新能源场站的评价指标；步骤3，对步骤2</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230228&DB=EPODOC&CC=CN&NR=115719130A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230228&DB=EPODOC&CC=CN&NR=115719130A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GE PENGJIANG</creatorcontrib><creatorcontrib>ZHANG XIAOQI</creatorcontrib><creatorcontrib>WANG KANGPING</creatorcontrib><creatorcontrib>LYU JINLI</creatorcontrib><creatorcontrib>DUAN NAIXIN</creatorcontrib><creatorcontrib>ZHAO XIN</creatorcontrib><creatorcontrib>JIN JILIANG</creatorcontrib><title>New energy resource grading evaluation method based on clustering algorithm</title><description>The invention discloses a new energy resource grading evaluation method based on a clustering algorithm. The new energy resource grading evaluation method specifically comprises the following steps of 1, solving a monthly power generation theoretical hour number of each new energy station; 2, analyzing and correcting the data obtained in the step 1, and constructing an evaluation index of each new energy station; step 3, analyzing each new energy station evaluation index obtained in the step 2 to obtain a substation-level new energy evaluation index; and 4, aggregating the substation-level evaluation indexes obtained in the step 3 to obtain provincial-level new energy evaluation indexes, and outputting the provincial-level new energy evaluation indexes. Theoretical basis and engineering guidance can be provided for new energy installation planning, and high-quality development of new energy can be promoted.
本发明公开了一种基于聚类算法的新能源资源分级评价方法，具体包括如下步骤：步骤1，求解每个新能源场站的每月发电理论小时数；步骤2，对步骤1获取数据进行分析与修正，构建每个新能源场站的评价指标；步骤3，对步骤2</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD2Sy1XSM1LLUqvVChKLc4vLUpOVUgvSkzJzEtXSC1LzClNLMnMz1PITS3JyE9RSEosTk1RAPKTc0qLS1KLQKoSc9LzizJLMnJ5GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFiMtCiknhnP0NDU3NDS0NjA0djYtQAAJCzNd4</recordid><startdate>20230228</startdate><enddate>20230228</enddate><creator>GE PENGJIANG</creator><creator>ZHANG XIAOQI</creator><creator>WANG KANGPING</creator><creator>LYU JINLI</creator><creator>DUAN NAIXIN</creator><creator>ZHAO XIN</creator><creator>JIN JILIANG</creator><scope>EVB</scope></search><sort><creationdate>20230228</creationdate><title>New energy resource grading evaluation method based on clustering algorithm</title><author>GE PENGJIANG ; ZHANG XIAOQI ; WANG KANGPING ; LYU JINLI ; DUAN NAIXIN ; ZHAO XIN ; JIN JILIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115719130A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>GE PENGJIANG</creatorcontrib><creatorcontrib>ZHANG XIAOQI</creatorcontrib><creatorcontrib>WANG KANGPING</creatorcontrib><creatorcontrib>LYU JINLI</creatorcontrib><creatorcontrib>DUAN NAIXIN</creatorcontrib><creatorcontrib>ZHAO XIN</creatorcontrib><creatorcontrib>JIN JILIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GE PENGJIANG</au><au>ZHANG XIAOQI</au><au>WANG KANGPING</au><au>LYU JINLI</au><au>DUAN NAIXIN</au><au>ZHAO XIN</au><au>JIN JILIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>New energy resource grading evaluation method based on clustering algorithm</title><date>2023-02-28</date><risdate>2023</risdate><abstract>The invention discloses a new energy resource grading evaluation method based on a clustering algorithm. The new energy resource grading evaluation method specifically comprises the following steps of 1, solving a monthly power generation theoretical hour number of each new energy station; 2, analyzing and correcting the data obtained in the step 1, and constructing an evaluation index of each new energy station; step 3, analyzing each new energy station evaluation index obtained in the step 2 to obtain a substation-level new energy evaluation index; and 4, aggregating the substation-level evaluation indexes obtained in the step 3 to obtain provincial-level new energy evaluation indexes, and outputting the provincial-level new energy evaluation indexes. Theoretical basis and engineering guidance can be provided for new energy installation planning, and high-quality development of new energy can be promoted.
本发明公开了一种基于聚类算法的新能源资源分级评价方法，具体包括如下步骤：步骤1，求解每个新能源场站的每月发电理论小时数；步骤2，对步骤1获取数据进行分析与修正，构建每个新能源场站的评价指标；步骤3，对步骤2</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | New energy resource grading evaluation method based on clustering algorithm |
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